Prioritization of Industry 4.0 Technologies to Increase Maturity in Lean Manufacturing from the Perspective of Enterprise Interoperability

In face of the deep changes in the global industrial scenario stemming from the concepts of Industry 4.0 and Lean Manufacturing philosophy, the adoption of new priority technologies associated with these concepts ensure that a company is permanently competitive in the market. The main goal of this article is the construction of diagnostic and decisional evaluation models, in the Lean Manufacturing domain and from the perspective of interoperability, for prioritizing the adoption of Industry 4.0 technologies, and using multi-criteria decision-making methods (MCDM) as support. For the diagnostic evaluation, a hybrid approach of the AHP and DEMATEL multi-criteria methods was carried out, using the Lean Manufacturing elements as criteria for the decisional evaluation. From the AHP result, the criteria diagnosed as fragile were selected and subsequently applied in DEMATEL, a method that allows the evaluation of the influences generated between the criteria. The aggregation of the weight structure resulting from the AHP and Dematel methods allows the characterization of the diagnostic weighting to define the weights of the PROMETHEE II decision matrix, guiding the prioritization of alternatives, i.e. technologies of Industry 4.0. The approach was applied in a company of the metal mechanic sector, and the results indicated that Enterprise Resource Planning (ERP) integrated with Business Analytics (BA) was ranked as the technology that should be implemented with priority to raise the level of organizational maturity on Lean Manufacturing. The integration of these concepts offers several advantages for the organization such as waste reduction, continuous improvement support (Kaizen), and information sharing.